Another R tip. Get in the habit of using drop = FALSE when indexing (using [ , ] on) data.frames. Prince Rupert’s drops (img: Wikimedia Commons) In R, single column data.frames are often converted to vectors when manipulated. For example: d x #__ 1 1 #__ 2 2 #__ … Continue reading R Tip: Use drop = FALSE with data....

Data analytics is rapidly changing the face of manufacturing as we know it. At Mango, we’re seeing companies using their data effectively to gain an advantage over com...

Just In Time For Baseball The mlbgameday package has just reached the milestone of version 0.1.0. Designed to facilitate extract, transform and load for MLBAM “Gameday” data. The package is optimized for parallel processing of data that may be larger than memory. There are other packages in the R universe that ...

Just In Time For Baseball The mlbgameday package has just reached the milestone of version 0.1.0. Designed to facilitate extract, transform and load for MLBAM “Gameday” data. The package is optimized for parallel processing of data that may be la...

When you work on bigger R projects there comes a point when you may lose the overview of how your functions are connected. Or even worse: you get a large project and have to figure out what is actually happening! A possible remedy to this problem are flowcharts. If you ...

In this 4th post of my series on Deep Learning from first principles in Python, R and Octave – Part 4, I explore the details of creating a multi-class classifier using the Softmax activation unit in a neural network. The earlier posts in this series were 1. Deep Learning from first principles in ...

Last week, my brand new DataCamp course Shiny Case Studies was finally released after being in the works for a full year! Check out the course This is an online course consisting of a series of short videos, mulitple choice exercises, a...

I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, … Continue reading →

@drsimonj here to share how I create and reuse corporate color palettes for ggplot2. You’ve started work as a data scientist at “drsimonj Inc” (congratulations, by the way) and PR have asked that all your Figures use the corporate colours. They send you the image below (coincidentally the Metro ...

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An updated tutorial to set up a blogdown blog    Git & GitHub repos RStudio and blogdown setup Customising paths and styles Modify config.toml file Custom css Custom javascript Site build with blogdown Deploying the site Updating the local git repository Pushing to GitHub Add R code A new … Sigue leyendo →

Synchronic application Diachronic application Topic clusters quick summary References This post outlines a fairly simple workflow from annotated corpus to topic model, with a focus on the exploratory utility of topic models. We first consider some text structures relevant to topic modeling in R, and then demonstrate some approaches to ...

Highlights from Conference on Statistical Practice. Friday 2/16/2018 8:00 AM Keynote Address & 9:15 AM Working with Messy Data 11:00 AM Streamlining Your Work Using (Shiny) Apps 2:00 PM Data Mining Algorithms / Presenting and Storytelli...

I need a few volunteers to please “test pilot” the development version of the R package cdata, please. Jacqueline Cochran: at the time of her death, no other pilot held more speed, distance, or altitude records in aviation history than Cochran. Our cdata package has an upcoming new feature called “...

… some water down the bridge, we are having a Co-Meetup in Frankfurt – kudos to the organizers. Those guys are just awesome. For the past years they have been making an effort to build a Data Science community in Frankfurt – you should check out their Twitter feed. Whenever there is a ...